Axel Springer News Media National
Data Engineering Manager(m/w/x)
Full-time/Part-timeWith HomeofficeExperienced
Berlin
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VEVestiaire Collective
Data Engineering Manager(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Leading 2-3 Senior Data Engineers in a global fashion tech platform, focusing on coaching and high standards. Strong data engineering background and ability to guide technical decisions required. Hybrid model, 2 paid charity days.
Requirements
- Enjoyment of growing engineers and building strong teams
- Strong data engineering background
- Ability to guide technical decisions
- Focus on impact, scalability, and maintainability
- Effective cross-team collaboration
- Value for shared ownership
- Care for internal user experience
- Curiosity about data platform evolution
- Curiosity about AI evolution
- Curiosity about modern data ecosystems
- Strong experience with Python
- Strong experience with SQL
- Solid experience with distributed data processing
- Experience with workflow orchestration
- Familiarity with AWS
- Familiarity with Docker
- Familiarity with Kubernetes
- Experience with modern data stacks
- Previous experience managing engineers
- Previous experience mentoring engineers
- Ability to drive technical decisions
- Ability to prioritize effectively
- Experience with ML pipelines
- Experience with ML tools
- Exposure to LLM/GenAI infrastructure
- Experience building internal data platforms
- Familiarity with Infrastructure as Code
- Exposure to FinOps practices
- Exposure to cost optimization practices
- Experience may not align perfectly
Tasks
- Lead a team of 2 to 3 Senior Data Engineers
- Provide regular feedback and coaching
- Foster a collaborative and high-performing team
- Ensure ownership and clarity of priorities
- Maintain high engineering standards
- Drive reliability and scalability of data infrastructure
- Define best practices for data quality and monitoring
- Ensure platform stability and scalability
- Improve performance and optimize costs
- Evolve orchestration tools for smooth developer experience
- Partner with Analytics Engineers and Data Scientists
- Support infrastructure strategy for AI and ML
- Enable scalable ML workflows and model deployment
- Anticipate future AI-driven product needs
- Guide architectural decisions
- Participate in design discussions
- Bridge engineering, data, and product stakeholders
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- Spark
- Kafka
- Airflow
- AWS
- Docker
- Kubernetes
- Snowflake
- dbt
- MLflow
- SageMaker
- Vector DBs
- Bedrock
- Terraform
Benefits
Job Security
- Permanent contract
Flexible Working
- Hybrid model
Purpose-Driven Work
- 2 paid days for charity
Competitive Pay
- Competitive compensation
Bonuses & Incentives
- Bonus
Healthcare & Fitness
- Health coverage
- Gym-Pass
Free or Subsidized Food
- Lunch vouchers
Other Benefits
- Additional legal perks
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Vestiaire Collective and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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VEVestiaire Collective
Data Engineering Manager(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Leading 2-3 Senior Data Engineers in a global fashion tech platform, focusing on coaching and high standards. Strong data engineering background and ability to guide technical decisions required. Hybrid model, 2 paid charity days.
Requirements
- Enjoyment of growing engineers and building strong teams
- Strong data engineering background
- Ability to guide technical decisions
- Focus on impact, scalability, and maintainability
- Effective cross-team collaboration
- Value for shared ownership
- Care for internal user experience
- Curiosity about data platform evolution
- Curiosity about AI evolution
- Curiosity about modern data ecosystems
- Strong experience with Python
- Strong experience with SQL
- Solid experience with distributed data processing
- Experience with workflow orchestration
- Familiarity with AWS
- Familiarity with Docker
- Familiarity with Kubernetes
- Experience with modern data stacks
- Previous experience managing engineers
- Previous experience mentoring engineers
- Ability to drive technical decisions
- Ability to prioritize effectively
- Experience with ML pipelines
- Experience with ML tools
- Exposure to LLM/GenAI infrastructure
- Experience building internal data platforms
- Familiarity with Infrastructure as Code
- Exposure to FinOps practices
- Exposure to cost optimization practices
- Experience may not align perfectly
Tasks
- Lead a team of 2 to 3 Senior Data Engineers
- Provide regular feedback and coaching
- Foster a collaborative and high-performing team
- Ensure ownership and clarity of priorities
- Maintain high engineering standards
- Drive reliability and scalability of data infrastructure
- Define best practices for data quality and monitoring
- Ensure platform stability and scalability
- Improve performance and optimize costs
- Evolve orchestration tools for smooth developer experience
- Partner with Analytics Engineers and Data Scientists
- Support infrastructure strategy for AI and ML
- Enable scalable ML workflows and model deployment
- Anticipate future AI-driven product needs
- Guide architectural decisions
- Participate in design discussions
- Bridge engineering, data, and product stakeholders
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- Spark
- Kafka
- Airflow
- AWS
- Docker
- Kubernetes
- Snowflake
- dbt
- MLflow
- SageMaker
- Vector DBs
- Bedrock
- Terraform
Benefits
Job Security
- Permanent contract
Flexible Working
- Hybrid model
Purpose-Driven Work
- 2 paid days for charity
Competitive Pay
- Competitive compensation
Bonuses & Incentives
- Bonus
Healthcare & Fitness
- Health coverage
- Gym-Pass
Free or Subsidized Food
- Lunch vouchers
Other Benefits
- Additional legal perks
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Vestiaire Collective and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Vestiaire Collective
Industry
Fashion
Description
The company is the leading global online marketplace for desirable pre-loved fashion, promoting the circular fashion movement.
Not a perfect match?
- Axel Springer News Media National
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Full-timeWith HomeofficeSeniorBerlin, Hannover, München - RoomPriceGenie
Hands-On Data Engineering Manager(m/w/x)
Full-timeRemoteManagementMannheim, Berlin - Nelly
Engineering Manager, Core Data(m/w/x)
Full-timeWith HomeofficeSeniorBerlin